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OpenAlex konusu

Infrastructure Maintenance and Monitoring

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 3.079 eser 191 yazar konusu

Çalışmalar

3.079 eser

  1. Evaluation of steel slag coarse aggregate in hot mix asphalt concrete 2009
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.1%

    Özet henüz yok.

  2. Evaluation of steel slag coarse aggregate in hot mix asphalt concrete 2009
    YÖKSİS OpenAlex üst %1 OpenAlex 99.1%

    Özet henüz yok.

  3. Predicting the compressive strength and slump of high strength concrete using neural network 2006
    YÖKSİS SJR Q1 JCR Q3 OpenAlex üst %1 OpenAlex 99.6%

    Özet henüz yok.

  4. Predicting the compressive strength and slump of high strength concrete using neural network 2006
    YÖKSİS SJR Q1 JCR Q3 OpenAlex üst %1 OpenAlex 99.6%

    Özet henüz yok.

  5. Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network 2011
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

  6. Evaluation of the properties and microstructure of SBS and EVA polymer modified bitumen 2007
    OpenAlex üst %10 OpenAlex 98.9%

    Özet henüz yok.

  7. Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network 2009
    YÖKSİS SJR Q1 JCR Q3 OpenAlex üst %10 OpenAlex 98.6%

    Özet henüz yok.

  8. Analysis of styrene-butadiene-styrene polymer modified bitumen using fluorescent microscopy and conventional test methods 2007
    OpenAlex üst %10 OpenAlex 98.4%

    Özet henüz yok.

  9. A neural network approach for early cost estimation of structural systems of buildings 2004
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.4%

    Özet henüz yok.

  10. Crumb rubber in concrete: Static and dynamic evaluation 2012
    OpenAlex üst %10 OpenAlex 98.3%

    Özet henüz yok.

  11. Performance Comparison of Pretrained Convolutional Neural Networks on Crack Detection in Buildings 2018
    OpenAlex üst %1 OpenAlex 100.0%

    Crack detection has vital importance for structural health monitoring and inspection of buildings. The task is challenging for computer vision methods as cracks have only low-level features for detection which are easily confused with background texture, foreign objects and/ or irregularities in construction. In addit…

  12. Predicting stripping and moisture induced damage of asphalt concrete prepared with polymer modified bitumen and hydrated lime 2009
    YÖKSİS OpenAlex üst %1 OpenAlex 99.6%

    Özet henüz yok.

Akademisyenler

191 akademisyen